Taking skewness into consideration when applying the Central Limit Theorem
碩士 === 淡江大學 === 數學學系碩士班 === 100 === When applying the central limit theorem on statistical inference, sample size n has to be large, but different text books give different suggestions on how large the sample size should be. We observed that the skewness of the population plays an important role in...
Main Authors: | Hsin-Chieh Wong, 翁新傑 |
---|---|
Other Authors: | Wei-Hou Cheng |
Format: | Others |
Language: | zh-TW |
Published: |
2012
|
Online Access: | http://ndltd.ncl.edu.tw/handle/33497105000547600709 |
Similar Items
-
A study on proper sample size for the use of the Central Limit Theorem on skewed distributions.
by: Li-Sheng Hsu, et al.
Published: (2010) -
Posner''s Theorems with Skew Derivations
by: Sheng-ji Luo, et al.
Published: (2007) -
On the central limit theorems.
by: Retek, Marietta
Published: (1971) -
X-Architecture Zero-Skew Clock Tree Construction with Performance and DFM Considerations
by: Chung-Chieh Kuo, et al.
Published: (2010) -
MARTINGALE CENTRAL LIMIT THEOREM
by: RODRIGO BARRETO ALVES
Published: (2017)